NumPy

📘 Overview

This repository contains a Jupyter/Colab notebook g_numpy.ipynb where I have learned the fundamentals of NumPy, the core library for numerical computing in Python. It covers array creation, operations, and important techniques used in data science and scientific computing.

🧩 Topics Covered

In this notebook, I have learned:

• Creating NumPy Arrays using np.array(), np.zeros(), np.ones(), and np.arange()
• Array Indexing and Slicing to access and modify elements
• Array Operations like addition, subtraction, multiplication, and division
• Broadcasting to perform operations on arrays of different shapes
• Statistical Functions such as np.mean(), np.median(), np.std(), np.sum()
• Linear Algebra operations including dot products and matrix multiplication
• Random Sampling using np.random
• Reshaping and Resizing arrays with np.reshape() and np.resize()

🧰 Technologies & Libraries

• Python 3.x
• NumPy
• Google Colab or Jupyter Notebook

🚀 How to Use

Using Google Colab (Recommended)

Click the Open in Colab badge above to open and run the notebook interactively in your browser.

Running Locally

1. Clone the repository:

   git clone https://github.com/garimaakashyap/numpy.git